3D Echo-Based Patient-Specific Computational Left Ventricle Models to Quantify Material Properties and Stress/Strain...

Area of Science:

• Cardiovascular Mechanics
• Biomedical Engineering
• Medical Imaging

Background:

• Noninvasive assessment of ventricle material properties and infarct area post-myocardial infarction is clinically significant.
• Echocardiography-based computational modeling offers a patient-specific approach to evaluate left ventricular (LV) mechanics.

Purpose of the Study:

• To investigate LV mechanical properties and stress conditions using patient-specific echo data and finite element modeling.
• To compare the material properties, stress, and strain of a healthy LV with an LV affected by myocardial infarction.

Main Methods:

• Acquired echocardiograms from a healthy volunteer and a patient with acute inferior myocardial infarction.
• Constructed patient-specific finite element models of the left ventricle.
• Applied a pre-shrink process to match model geometry with in vivo end-of-systole pressure data.

Main Results:

• The modeling approach demonstrated potential for determining ventricle material properties.
• The healthy LV was stiffer than the infarct LV at end-systole but softer at end-diastole, indicating active contraction differences.
• The infarcted LV exhibited significantly higher longitudinal curvature and stress at both end-systole and end-diastole compared to the healthy LV.

Conclusions:

• The echo-based computational modeling approach is a promising tool for assessing mechanical changes in the post-myocardial infarction ventricle.
• Significant alterations in LV curvature and stress occur due to infarction, with potential implications for cardiac function.
• Further large-scale studies are warranted to validate these findings in a broader patient population.